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MCP server · Developer Tools

Plainly Videos

Model Context Protocol (MCP) server for video automation with Plainly Videos API (Adobe After Effects automation).

53Fair

Scored 3 days ago · breakdown

About Plainly Videos

Plainly Videos is an MCP server published by plainly-videos in the Developer Tools category: model Context Protocol (MCP) server for video automation with Plainly Videos API (Adobe After Effects automation).

The repository has 6 stars and 1 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/plainly-videos/mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Plainly Videos

Powered by Claude · Grounded in docs

I know everything about Plainly Videos. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 5 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v1.0.5v1.0.5 · 8 Jan 2026
v1.0.4v1.0.4 · 10 Dec 2025
v1.0.3v1.0.3 · 30 Sep 2025

README

Plainly's Official MCP Server

smithery badge

The official MCP server for Plainly Videos, a cloud-based video automation platform that renders Adobe After Effects templates natively in the cloud.

It lets AI agents and MCP clients (Claude, Cursor, VS Code, or any MCP-compatible client) browse your video templates, fill in their parameters, submit renders, and check the render status of each one.

What you can do with it

Ask your AI assistant directly:

  • "List my Plainly templates and show me what parameters the YouTube intro needs"
  • "Render the Promo Template 16:9 with the headline 'Summer sale', this logo, and with colour #87CEEB"
  • "Create me a unique video for all 100 rows of data from this CSV file"
  • "Check if my renders are done and give me the preview links"
  • "Render a test video with placeholder values so I can verify the template works"

Combine it with other MCP servers to build agents that generate videos from live data:

  • Weather-triggered ads - weather MCP server checks the forecast, agent renders localized ad variants ("Rainy week in Berlin - 20% off umbrellas")
  • Product feed to video - connect a Shopify or product catalog MCP server and render a promo video for every product, with the name, price, image, and discount pulled straight from the feed
  • Sports recaps - connect a sports data MCP server and turn last night's scores into a highlight video for each game
  • And more

🎥 Demo

📋 Prerequisites

▶️ How to Run

Install via npm

  1. Get your Plainly API key
  1. Add config to your editor

    {
      "servers": {
        "plainly": {
          "command": "npx",
          "args": ["-y", "@plainly-videos/mcp-server@latest"],
          "env": {
            "PLAINLY_API_KEY": "<PLAINLY_API_KEY>"
          }
        }
      }
    }
    

    🔑 Replace <PLAINLY_API_KEY> with your actual API key.

Install via Smithery

Go to Smithery Plainly MCP page, select your LLM client, and copy the generated command.

For example, with Claude as the client:

npx -y @smithery/cli@latest install @plainly-videos/mcp-server --client claude --key <YOUR_SMITHERY_KEY>

🔑 Replace <YOUR_SMITHERY_KEY> with your Smithery API key.

🛠️ Available Tools

  • list_renderable_items - returns a list of all criteria matching designs and custom projects for authenticated user
  • get_renderable_items_details - returns details of a single design or custom project, such as: required and optional parameters, preview links, aspect ratios, etc.
  • render_item - submits a render with all needed parameters
  • check_render_status - checks the render status and report error or preview links

🗣️ Prompts & Resources

This implementation does not include prompts or resources from the MCP specification. However, this may change in the future when there is broader support across popular MCP clients.

🚧 Development Mode

If you want to run the server in development mode, you can install dependencies and run the server using the following command:

  1. Clone, install, and build:
git clone git@github.com:plainly-videos/mcp-server.git
cd mcp-server

yarn install
yarn build
  1. Add your API key in .vscode/mcp.json
{
  "servers": {
    "plainly": {
      "command": "node",
      "args": ["<FULL PATH TO dist/cli.js>"],
      "env": {
        "PLAINLY_API_KEY": "<PLAINLY_API_KEY>"
      }
    }
  }
}
  1. Start MCP server from .vscode/mcp.json

📄 Plainly Developer Resources


If you find this project helpful, please consider giving it a ⭐!

Star on GitHub

README fetched from the repository 5 days ago. The original is authoritative.

Questions

About Plainly Videos

How do I install Plainly Videos?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Plainly Videos safe to use with an AI agent?

Its trust score is 53 out of 100 (fair). It passes 2 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Plainly Videos still maintained?

Yes — the last commit was a month ago. The repository has 6 stars and 1 forks and 2 open issues.